dask-avro 0.1.1

Avro reader for Dask.

=========Dask-Avro=========.. image:: https://img.shields.io/pypi/v/dask-avro.svg :target: https://pypi.python.org/pypi/dask-avro.. image:: https://img.shields.io/pypi/pyversions/dask-avro.svg :target: https://pypi.python.org/pypi/dask-avro.. image:: https://readthedocs.org/projects/dask-avro/badge/?version=latest :target: https://readthedocs.org/projects/dask-avro/?badge=latest :alt: Documentation Status.. image:: https://img.shields.io/travis/rmax/dask-avro.svg :target: https://travis-ci.org/rmax/dask-avro.. image:: https://codecov.io/github/rmax/dask-avro/coverage.svg?branch=master :alt: Coverage Status :target: https://codecov.io/github/rmax/dask-avro.. image:: https://landscape.io/github/rmax/dask-avro/master/landscape.svg?style=flat :target: https://landscape.io/github/rmax/dask-avro/master :alt: Code Quality Status.. image:: https://requires.io/github/rmax/dask-avro/requirements.svg?branch=master :alt: Requirements Status :target: https://requires.io/github/rmax/dask-avro/requirements/?branch=masterAvro reader for Dask.* Free software: MIT license* Documentation: https://dask-avro.readthedocs.org.* Python versions: 2.7, 3.4+Features--------This projects provides an Avro_ format reader for Dask_. Provides a convenientfunction to read one or more Avro files and partition them arbitrarily.Quickstart----------Usage:: import dask.bag import dask_avro delayeds = dask_avro.read_avro("data-*.avro", blocksize=2**26) data = dask.bag.from_delayed(delayeds)Credits-------This package was created with Cookiecutter_ and the `rmax/cookiecutter-pypackage`_ project template... _Avro: https://avro.apache.org/docs/1.2.0/.. _Cookiecutter: https://github.com/audreyr/cookiecutter.. _Dask: http://dask.pydata.org/en/latest/.. _`rmax/cookiecutter-pypackage`: https://github.com/rmax/cookiecutter-pypackage

=======History=======0.1.1 (2018-01-18)------------------* Pin fastavro version to <0.16 as latest versions don't allow to use internal C-based ``_iter_avro`` function.0.1.0 (2017-02-02)------------------* First release on PyPI.